KefeD

KefeD — CS2 Stats

AQ76561198290391016[U:1:330125288]Steam profile ↗✓ No bans

2,975Tracked matches50%Win rate2020Tracked since
2,923Hours in CS
CSDB Rating7.4 StrongPositional Player
Premier CS Rating29,107Red band · top ~1% of ranked players (population est.)
FaceitLevel 10 · 1,995 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGKefeDFACEITLevel 10 · 1,995 ELOSTANDINGTop 12.4% of rankedPREMIER29,107 · Red bandcsdb.gg/stats

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Performance scores

Aim91
Positioning69
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY56–40–4Last 10056%Win rateWLWLLTWWWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −0.2pp headshot accuracy · −9ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 511ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 503ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 508ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.6 against its own average).

Aim9.1
Utility4.5
Positioning6.9
Opening Duels3.8
Clutch2.2

Sharp aimerLimited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 88% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

T openings. 71% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 71% on T to 46% on CT — first contacts on the defending side are being lost.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim9.1
Positioning6.9
Utility4.5
Mechanics7.0
Opening Duels7.0
Win Impact5.0

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time499ms−13ms
first ⅓ avg 512ms → last ⅓ avg 499ms
Headshot accuracy23.5%+3.8%
first ⅓ avg 19.7% → last ⅓ avg 23.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.17Best match rating · 13–3 · mirage, 28 Oct →
63%Best headshot accuracy · 13–1 · inferno, 13 Nov →
352msFastest reaction time · 3–13 · inferno, 5 Nov →
13–1Biggest win · inferno, 13 Nov →

Across the last 100 tracked matches.

Highlights

14Longest win streak
8–10In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 64% over 11nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A2515–1060%0.03
mirageB2312–1152%0.03
infernoB137–654%0.00
anubisB137–654%0.02
ancientA117–464%0.01
cacheA106–460%0.00
nukeC52–340%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

139,057Lifetime kills
1.09K/D
6,708Matches
50.5%Match win rate
43.9%Headshot %
13.1%Shot accuracy
21,031MVPs
2,923Hours (in match)
3,087Bombs planted
1,957Bombs defused

Most-used weapons

AK-4750,358
AWP25,972
SSG 082,329
MP92,018
Knife1,346

Lifetime map wins

14,766dust2
5,604inferno
1,648vertigo
1,318nuke
536train
95office
78cbble
23dust

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

402Matches
53%Win rate
1.13Avg K/D
84.3ADR
45%Headshot %

Clutches & streaks

31%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage12456%1.2418.1
Dust26348%1.0715.9
Inferno5145%1.0315.9
Ancient4459%1.1916.1
Anubis3256%1.2017.0
Vertigo1471%1.2720.1
Nuke729%1.0416.9
Overpass771%0.9715.1

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.8%Headshot accuracy
38.1%Accuracy (enemy spotted)
43.0%Spray accuracy
81.5%Counter-strafing
8.1°Preaim
504msReaction time
70.6%T opening success
46.1%CT opening success
0.54Enemies flashed / flash
5.3%Flash assists
6.94HE damage / grenade
4.50Flashes / match

Recommended for you

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–90.0314%14 Nov →
inferno11–13-0.0124%14 Nov →
inferno13–1-0.0263%13 Nov →
anubis11–13-0.0022%11 Nov →
cache3–13-0.0522%11 Nov →
cache15–150.0626%10 Nov →
mirage16–12-0.0121%10 Nov →
mirage16–14-0.0140%10 Nov →
dust216–13-0.0117%5 Nov →
ancient13–50.0224%5 Nov →
inferno3–13-0.0635%5 Nov →
anubis13–100.0321%4 Nov →
mirage11–13-0.0228%4 Nov →
nuke10–130.0733%4 Nov →
cache13–7-0.0026%4 Nov →
dust213–8-0.0311%3 Nov →
ancient13–70.0220%3 Nov →
nuke13–70.0424%3 Nov →
mirage15–150.0327%3 Nov →
mirage0–5-0.0350%3 Nov →
dust213–100.0021%29 Oct →
dust28–13-0.0226%29 Oct →
dust25–13-0.0512%29 Oct →
dust211–130.0318%29 Oct →
mirage5–130.0413%29 Oct →
ancient12–160.0012%29 Oct →
inferno13–30.0120%28 Oct →
mirage13–30.1718%28 Oct →
anubis3–13-0.0119%28 Oct →
dust210–13-0.037%27 Oct →
dust213–80.1123%27 Oct →
inferno7–130.0132%27 Oct →
ancient10–13-0.019%27 Oct →
mirage12–110.0630%27 Oct →
dust21–13-0.0533%27 Oct →
dust211–130.0929%26 Oct →
inferno4–130.0334%26 Oct →
mirage16–120.0523%26 Oct →
anubis13–160.0222%26 Oct →
dust213–90.0317%25 Oct →
anubis7–130.1431%24 Oct →
anubis13–90.0820%24 Oct →
cache13–7-0.0422%23 Oct →
dust213–40.0120%23 Oct →
cache13–110.0022%23 Oct →
inferno13–70.0319%23 Oct →
dust213–30.1430%23 Oct →
anubis13–9-0.0233%22 Oct →
ancient13–20.0027%22 Oct →
inferno13–50.0732%22 Oct →
mirage13–70.1033%22 Oct →
dust216–130.0720%22 Oct →
ancient13–5-0.0112%21 Oct →
ancient13–110.1131%21 Oct →
inferno13–90.0011%21 Oct →
mirage8–13-0.0116%21 Oct →
anubis13–5-0.0313%21 Oct →
cache13–80.0732%21 Oct →
dust24–130.0428%21 Oct →
cache13–90.0122%20 Oct →
inferno14–160.0428%20 Oct →
mirage10–13-0.0727%20 Oct →
anubis11–130.0719%20 Oct →
dust213–10.1326%20 Oct →
ancient6–13-0.0324%19 Oct →
cache6–1-0.0333%19 Oct →
mirage11–130.0423%19 Oct →
dust216–14-0.0413%19 Oct →
mirage13–90.0822%19 Oct →
mirage15–150.0123%18 Oct →
mirage13–80.1222%18 Oct →
nuke13–7-0.0813%18 Oct →
anubis13–100.0414%18 Oct →
dust29–130.0119%18 Oct →
nuke7–130.0225%18 Oct →
ancient4–6-0.0416%17 Oct →
mirage9–13-0.0324%17 Oct →
anubis13–10-0.0222%17 Oct →
dust215–150.0123%17 Oct →
cache11–13-0.0113%17 Oct →
mirage9–13-0.0123%17 Oct →
dust213–40.1012%17 Oct →
mirage13–10.1021%16 Oct →
dust213–40.0215%16 Oct →
dust213–50.0216%16 Oct →
inferno13–110.0117%16 Oct →
mirage16–14-0.0221%16 Oct →
anubis7–13-0.0619%16 Oct →
anubis13–40.0017%16 Oct →
dust213–50.0022%16 Oct →
dust213–90.0929%16 Oct →
mirage13–30.028%16 Oct →
nuke10–13-0.0025%15 Oct →
dust29–130.0430%15 Oct →
inferno13–90.0112%15 Oct →
inferno10–13-0.0736%15 Oct →
cache10–130.0124%15 Oct →
mirage6–13-0.0212%15 Oct →
ancient13–110.0221%15 Oct →
ancient13–90.0220%14 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches14-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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